AI-assisted systematic review on remediation of contaminated soils with PAHs and heavy metals.

This systematic review addresses soil contamination by crude oil, a pressing global environmental issue, by exploring effective treatment strategies for sites co-contaminated with heavy metals and polycyclic aromatic hydrocarbons (PAHs). Our study aims to answer pivotal research questions: (1) What are the interaction mechanisms between heavy metals and PAHs in contaminated soils, and how do these affect the efficacy of different remediation methods? (2) What are the challenges and limitations of combined remediation techniques for co-contaminated soils compared to single-treatment methods in terms of efficiency, stability, and specificity? (3) How do various factors influence the effectiveness of biological, chemical, and physical remediation methods, both individually and combined, in co-contaminated soils, and what role do specific agents play in the degradation, immobilization, or removal of heavy metals and PAHs under diverse environmental conditions? (4) Do AI-powered search tools offer a superior alternative to conventional search methodologies for executing an exhaustive systematic review? Utilizing big-data analytics and AI tools such as Litmaps.co, ResearchRabbit, and MAXQDA, this study conducts a thorough analysis of remediation techniques for soils co-contaminated with heavy metals and PAHs. It emphasizes the significance of cation-π interactions and soil composition in dictating the solubility and behavior of these pollutants. The study pays particular attention to the interplay between heavy metals and PAH solubility, as well as the impact of soil properties like clay type and organic matter on heavy metal adsorption, which results in nonlinear sorption patterns. The research identifies a growing trend towards employing combined remediation techniques, especially biological strategies like biostimulation-bioaugmentation, noting their effectiveness in laboratory settings, albeit with potentially higher costs in field applications. Plants such as Medicago sativa L. and Solanum nigrum L. are highlighted for their effectiveness in phytoremediation, working synergistically with beneficial microbes to decompose contaminants. Furthermore, the study illustrates that the incorporation of biochar and surfactants, along with chelating agents like EDTA, can significantly enhance treatment efficiency. However, the research acknowledges that varying environmental conditions necessitate site-specific adaptations in remediation strategies. Life Cycle Assessment (LCA) findings indicate that while high-energy methods like Steam Enhanced Extraction and Thermal Resistivity - ERH are effective, they also entail substantial environmental and financial costs. Conversely, Natural Attenuation, despite being a low-impact and cost-effective option, may require prolonged monitoring. The study advocates for an integrative approach to soil remediation, one that harmoniously balances environmental sustainability, cost-effectiveness, and the specific requirements of contaminated sites. It underscores the necessity of a holistic strategy that combines various remediation methods, tailored to meet both regulatory compliance and the long-term sustainability of decontamination efforts.

Continuous improvement of our autologous blood donation program carried out during 10 years in 1198 orthopaedic patients.

BACKGROUND: We analysed the relationship between baseline haemoglobin levels and the need for post-operative blood transfusion in our patients. The aim of this study was to evaluate and optimize the pre-operative autologous blood donation (PABD) program at our hospital through a constant audit. MATERIALS AND METHODS: Between January 1997 and December 2006 we evaluated 1198 consecutive patients who underwent elective, unilateral, primary total hip or knee arthroplasty and who met our inclusion criteria. We determined the baseline haemoglobin level to establish the relationship to the need for post-operative transfusion. RESULTS: The results of our study show that the baseline haemoglobin level is a strong predictor of blood transfusion after unilateral, primary total hip or knee arthroplasty. CONCLUSIONS: The baseline haemoglobin level is a strong predictor of blood transfusion after elective, unilateral, primary total hip or knee arthroplasty. On the basis of these findings, we do not recommend autologous predonation for patients with a baseline haemoglobin level of >14g/dl moreover we always recommend the use of a blood cell salvage system and a constant audit of pre-operative autologous blood donation (PABD) to avoid unnecessary expense and waste.